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Building Your Upskilling Strategy: Data vs. People

Degreed

A peek at their data shows, maybe unsurprisingly, that the top jobs include data scientist, solutions architect, and network development engineer. This approach leverages the data and actions of your employees, resulting in a dynamic folksonomy of sorts that can be used for social learning as well as organizational curation.

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Learning Solutions day 3: Saved the best for the last #LS2011

Challenge to Learn

And if that is not enough they connected these two to Ontologies, Taxonomies, Folksonomies and controled vocabularies. My conclusion was that we needed a mix of meta data and search engines and some other things, only I didn’t know what these other things where. The outcome from that discussion was not open.

Solution 169
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Tags, Search Effectiveness, Personal Benefits

Tony Karrer

From Bill Ives - Where Tagging Works and Where Tagging Doesn’t Work – Search Engine Lowdown I guess I tend to agree with Danny Sulliivan about the tagging and search but that is not the original intention of tagging. If I want to search on a key word, I will still go to Google as the most efficient way.

Tagging 100
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Data, People, or Something In Between: Clearing Your Path to Career Mobility

Degreed

A peek at their data shows, maybe unsurprisingly, that the top jobs include data scientist, solutions architect, and network development engineer. This approach leverages the data and actions of your employees, resulting in a dynamic folksonomy of sorts that can be used for social learning as well as organizational curation.

Mobile 52
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Finders keepers, losers weepers

Clive on Learning

Like it's sibling, usability, findability is a responsibility that often falls between the cracks and is often not properly addressed by authors, designers or engineers. The alternative, of course, is a bottom-up effort whereby users apply their own tags to online content, evolving in the process what are now commonly known as folksonomies.

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Learning and KM: Separated at birth?

Jay Cross

Adkins discusses strategy development and implementation of learning and knowledge process engineering for driving successful communities. This session provides a look at the key principles for success for communities in different organizations.

KM 38